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- IBM Research - Thomas J. Watson Research CenterUS46 papers
- Massachusetts Institute of TechnologyUS22 papers
- Vassar CollegeUS16 papers
- California Institute of TechnologyUS13 papers
- Columbia UniversityUS12 papers
- Stanford UniversityUS11 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- Carnegie Mellon UniversityUS9 papers
- University of Illinois Urbana-ChampaignUS9 papers
- University of MichiganUS9 papers
- IBM Research - ZurichCH8 papers
- Iowa State UniversityUS8 papers
39 papers · 1 filter
Split-NER: Named Entity Recognition via Two Question-Answering-based Classifications
Jatin Arora, Youngja Park
In this work, we address the NER problem by splitting it into two logical sub-tasks: (1) Span Detection which simply extracts entity mention spans irrespective of entity type; (2)…
Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description
Carla Agurto, Guillermo Cecchi, Bo Wen +4
Amyotrophic lateral sclerosis is a fatal disease that not only affects movement, speech, and breath but also cognition. Recent studies have focused on the use of language analysis…
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval
Revanth Gangi Reddy, Md Arafat Sultan, Martin Franz +2
We show that supervised neural information retrieval (IR) models are prone to learning sparse attention patterns over passage tokens, which can result in key phrases including name…
Cascaded Multilingual Audio-Visual Learning from Videos
Andrew Rouditchenko, Angie Boggust, David Harwath +8
In this paper, we explore self-supervised audio-visual models that learn from instructional videos. Prior work has shown that these models can relate spoken words and sounds to vis…
GenNI: Human-AI Collaboration for Data-Backed Text Generation
Hendrik Strobelt, Jambay Kinley, Robert Krueger +3
Table2Text systems generate textual output based on structured data utilizing machine learning. These systems are essential for fluent natural language interfaces in tools such as…
Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages
Tejas Indulal Dhamecha, Rudra Murthy, Samarth Bharadwaj +2
We explore the impact of leveraging the relatedness of languages that belong to the same family in NLP models using multilingual fine-tuning. We hypothesize and validate that multi…